Please view the posters presented at the 18th Annual CityTech Faculty and Student Research Poster Session below. You can click on each poster to enlarge it and view the PDF version under the poster abstract.
We thank all presenters for sharing their innovative and informative research with the CityTech community and beyond!
16. Offline Voice Recognition Module Using Raspberry PI
A growing number of smart devices are getting connected to the Internet and that poses a privacy threat. An offline voice recognition system could minimize or eliminate such privacy concerns by boosting security. Voice recognition is a software solution that turns spoken language into text that can be recognized by computers. The Raspberry Pi has voice recognition functional capabilities to convert voice into text. The text can be transmitted using the serial communication protocol to a micro-controller. Our goal is to build a voice recognition module that will be used within a more complex system. For example, if a smart car needs voice recognition system, we can connect this module with three wires only to achieve the car’s voice recognition capability. We are going to use Rhasspy (an Open-Source fully offline voice assistant toolkit that works well with Home Assistant), Hass.io (an OS that take cares of installing and updating Home Assistant), and Node-RED (a programming tool for wiring together hardware devices). View or download a PDF version of this poster.
